The use of artificial intelligence has been in games since the inception of video games. Already in 1951, a computer system to play Nim was capable of beating humans when it figured out the best moves when picking objects off of piles. The use of AI as the core of the game design has followed since that time: it brings game environments to life, responsive and adaptive.
Generative technologies were a new beginning in the industry in 2025. Games do not only provide scenarios, but whole dynamic worlds that evolve, evolve, and transform based on individual players: original content, independent NPCs, extended story lines, and record speed generation of game content.
Poker With Cryptocurrency: the New AI Trend Dominating 2025
While video games are actively integrating AI into NPCs, world generation, and adaptive systems. Another striking phenomenon emerged in the 2025 gaming industry: innovative poker with cryptocurrency, which is also being transformed by artificial intelligence. AI makes poker with cryptocurrency:
- Safer by analyzing suspicious patterns;
- Fairer thanks to complex anti-cheat modules;
- More convenient by instantly adapting the table to the player’s style;
- More strategic since algorithms help analyze probabilities and opponents’ behavior.
This trend became further proof that AI shapes not only traditional video games but also the broader ecosystem of interactive entertainment.
What is AI in the Gaming Industry?
Artificial intelligence in games ensures that characters and the game world react to player actions naturally and logically. The most common application is controlling NPCs: companions, enemies, merchants, and allies. Modern AI allows NPCs to:
- Learn through interaction with the player;
- Develop their own behavior models;
- Change tactics, communication style, and reactions to the environment.
AI also actively shapes the game environment. Landscapes, world dynamics, and story elements increasingly adapt to the player’s style, making gameplay deeper and more realistic.
Why has AI Become so Important?
AI expands game accessibility. Thanks to it, gamers can enjoy high-quality content on any device, from mobile phones to VR headsets. It allows developers to create massive open worlds, build adaptive scenarios, and balance difficulty. These algorithms also help fight cheaters and save time in content creation. Key advantages of AI:
- Generative technologies pave the way for infinite worlds, personalized quests, and autonomous NPCs.
- Machine learning helps adjust difficulty, analyze players, and detect cheating.
- AI tools speed up the creation of dialogues, locations, and visual assets.
New trends: high-end mobile devices, VR, blockchain, and cloud technologies make AI-powered games more accessible and immersive.
Best Ways to Use AI in Games
Now let’s move to real examples. Below you’ll find information about AI applications that have made games better.
Creating Realistic NPCs
Generative AI completely changes the traditional approach to characters. Ubisoft La Forge developed Ghostwriter, a tool that generates unique dialogues for NPCs. The team also tested systems that create gestures matching a character’s speech.
As a result, non-playable characters learned to communicate more naturally, react to moods, and move precisely according to their spoken lines. Most importantly, NPCs move away from scripted dialogue; thanks to AI, they improvise.
Creating Massive Open Worlds
Games like Mad Max, Skyrim, and Deadly Premonition use AI algorithms to develop storylines and quests based on the player’s level. A breakthrough was made by Takehiko Hoshino, who created an AI capable of independently designing dungeons and mazes by analyzing previous game experiences.
Procedural generation gives the world almost limitless possibilities. A vivid example is No Man’s Sky, offering 18 quintillion planet and biome variations. The Sims is another example, where AI makes decisions for characters, managing their interactions and internal needs.
Game Balancing and Analytics
AI can test a vast number of scenarios, identify bugs, and reduce difficulty discrepancies between players. It can adjust balance in real time, responding to player mood and style.
The industry generates over 50 terabytes of data daily. AI helps developers understand who players are, how they behave, what keeps them engaged or makes them leave, and which mechanics work best.
Expanding game design and improving Graphics
AI can simulate player behavior, showing developers how audiences will interact with maps, mechanics, and features. Minecraft is one of the best examples: the game generates unique landscapes, creating mountains, forests, villages, and caves with each session.
AI helps create more detailed textures, lighting, reflections, and effects. It can also remaster older games without manually reworking all content. In games like Minecraft, The Sims 4, and GTA 5, AI analyzes behavior patterns and detects: aimbots, wall-hacks, unauthorized mods, and suspicious match behavior. This makes multiplayer fairer and safer.
Examples of top AI-powered games
Here are the most notable examples of games where AI technologies have been actively used:
- Red Dead Redemption 2 – realistic NPCs, living world.
- Alien: Isolation – Xenomorph AI adapts to the player.
- FIFA 22 – ML creates natural movements.
- XCOM: Enemy Unknown – enemies analyze squad abilities.
- Halo: Combat Evolved – adaptive Covenant AI.
- The Last of Us Part II – emotional reactions and enemy coordination.
- Rocket League – reinforcement learning bots.
- Middle-earth: Shadow of Mordor – “Nemesis” system remembers the player.
Generative AI and machine learning open new horizons: endless open worlds, procedurally generated quests, enhanced graphics, anti-cheat measures, and even crypto poker games. Combined with VR, blockchain, and mobile technologies, they make games accessible, realistic, and deeply engaging.
